When a model is created, analyze its accuracy in the Model analysis step.
Classification analysis results.
Manual (predicted) and machine (actual) outcome comparison.
True positive, precision, recall, and F-score measures.
Optional: Click the expand icon next to each model that you created to view the following statistics:
In the Category summary tab, view the predicted (manual) and actual (machine) outcome comparison of the assigned classification values. Additionally, you can view true positive, precision, recall, and F-score measures.
In the Test results tab, view the classification analysis of the records in the testing sample. You can view the actual (machine), predicted (manual) outcome as well as whether the actual and manual outcomes match.
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